Short-term effects induced by nicotinamide in ovariectomized females
Bibliographic record
Abstract
Nicotinamide adenine dinucleotide (NAD)+ precursors such as nicotinamide activate sirtuins and enhance energy metabolism. The aim of this study was to evaluate the metabolic effects of nicotinamide in ovariectomized (OVX) female rats to establish molecular targets against obesity, which support the safe therapeutic application of nicotinamide. The OVX animals were divided into groups: SHAM (simulated surgery), SHAMn (two weeks of 35 mg·kg–1 nicotinamide per day, by gavage), OVX, and OVXn (two weeks of 35 mg·kg–1 nicotinamide per day, by gavage). The results indicated that nicotinamide favored lipolysis, as evidenced by an increase in free fatty acid and hepatic triglyceride levels, which were not fully normalized during the treatment period. The lipolysis appeared to be due to increased SIRT1 and mitochondrial oxidative phosphorylation in muscle and adipose tissue. There were decreases in muscle and fat nicotinamide N-methyltransferase (NNMT), which were associated with decreases in mass and triglyceride, low-density lipoprotein cholesterol (LDLc), and total cholesterol content. Nicotinamide appeared to be beneficial for the glycemic profile, with normal hepatic glycogen storage and a tendency towards insulin sensitivity in the OVXn. In the SHAMn group, nicotinamide led to glucose intolerance, together with reduced muscle expressions of nicotinamide phosphoribosyltransferase (NAMPT) and SIRT3, suggesting that there were no short-term benefits. Supplementation with nicotinamide led to tissue-specific adaptive lipid and molecular changes in OVX rats.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".